Understanding Gradient Descent: The Engine Behind Machine Learning

Gradient Descent in Machine Learning: Python Examples

Insightforge | Data Science & AI on Instagram: "Gradient Descent is an optimization technique used to train machine learning models — it helps find the best set of parameters (like weights in a neural network) that minimize the loss function. Imagine the loss function as a hilly surface every point represents a different combination of parameters. Our goal? To move downhill toward the lowest point (minimum loss). To know which way to move, we calculate the gradient, which shows how the loss chan

How To Learn Calculus A Guide For Beginners

Learn basic calculus using simple math

Understanding Basic Calculus: A Beginner’s Guide